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Multi-Agent Reinforcement Learning research benchmarks – Page 8 · SOTA2 Research

Multi-Agent Reinforcement Learning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Simple Tag Heavy DBC

138Avg Episode Reward

7

Feb 26, 2026

Simple_Tag Medium DBC (3)

135.3Cumulative Reward

7

Feb 26, 2026

Simple_Tag Light DBC (5)

136.9Cumulative Reward

7

Feb 26, 2026

Simple_Tag Heavy MBC (8)

131.4Avg Episode Reward

7

Feb 26, 2026

Simple_Tag Medium MBC (6)

134.9Avg Episode Reward

7

Feb 26, 2026

Simple_Tag Light MBC (3) MPE (test)

133.6Avg Episode Reward

7

Feb 26, 2026

Simple_Tag Unrestricted MPE (test)

134.7Cumulative Reward

7

Feb 26, 2026

94Win Rate

7

Feb 27, 2026

100Win Rate

7

Feb 27, 2026

CN, REF, TREA Aggregate

9.802Normalized Mean Performance

7

Feb 26, 2026

SMAC 27m_vs_30m (test)

19.71Test Win Rate

7

Feb 26, 2026

86.7Success Rate

6

Jul 7, 2026

SMAC Zerg 10v10 v2

31.9AUC

6

Jul 7, 2026

Traffic Junction TJ Hard

56.4AUC

6

Jul 7, 2026

Traffic Junction (TJ)

60.9AUC

6

Jul 7, 2026

0.302AUC

6

Jul 7, 2026

0.808AUC

6

Jul 7, 2026

SMAC 1o_10b_vs_1r

36.6AUC

6

Jul 7, 2026

0.157AUC

6

Jul 7, 2026

smac 1o_2r_vs_4r

49.8AUC

6

Jul 7, 2026

55.4AUC

6

Jul 7, 2026

StarCraft II (SMAC) 10mvs11m to corridor

89Win Rate

6

Jun 24, 2026

StarCraft II (SMAC) 3m to 3s5zvs3s6z

69Win Rate

6

Jun 24, 2026

SMAC 3m to 10mvs11m

80Final Win Rate

6

Jun 24, 2026

SMAC 3m to 3s5zvs3s6z

72Win Rate

6

Jun 24, 2026

Page 8 of 15

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